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生油岩评价专家系统研究
引用本文:丑晓伟,胡晓娥,等.生油岩评价专家系统研究[J].甘肃地质学报,1993,2(2):75-83.
作者姓名:丑晓伟  胡晓娥
作者单位:[1]中国科学院兰州地质研究所,兰州730000 [2]中国科学院国
基金项目:中国科学院资源与环境信息系统国家重点实验基金,国家计委资源与环境信息系统国家重点实验基金
摘    要:生油岩评价专家系统(SREES)的建立是将有关地质学家的理论方法和经验知识进行系统总结,以先进的人工智能技术在计算机上实现,使生油评价分析工作达到专家水平,从而提高评价结果的置信度,更好地指导油气勘探工作。整个系统采用了自顶向下、面向目标的程序设计方法,使用C语言在Micro VAX机上实现,系统选择了民和盆地作为实验区,验证了系统的评价性能,在计算机系统支持下的陆相油气资源评价方法上作了一次偿试。

关 键 词:专家系统  人工智能  C语言

AN EXPERT SYSTEM FOR SOURCE ROCK EVALUATION
Chou Xiaowei Wei Junchao.AN EXPERT SYSTEM FOR SOURCE ROCK EVALUATION[J].Acta Geologica Gansu,1993,2(2):75-83.
Authors:Chou Xiaowei Wei Junchao
Institution:(State Key Laboratory of Resources & Environment Information System, Institute of Geography ,Chinese Academy of Sciences, Beijing 100101 )
Abstract:An establishment of the Source Rock Evaluation Expert System (SREES) is based on geologist's systematic summarize of theoretical method and experience ,is completed by computer through the advanced technology of Artifitial Intelligence (AI) using computer. With the help of SREES, the evaluation results will be expected to arrive the expert's level, thus increases reliable degrees and guides the oil and gas exploration more well. This system makes use of the top -down and objected - oriented program design methods, and C language to establish it on Micro VAX computer. Tn addition,the Minhe basin experiment is examined. It tests and verifies the system evaluation properties. So we just make a trying in methodology about oil -gas resources evaluation of continental deposit with the computer supported system.
Keywords:Expert system Artificial intelligence C language  
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